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04/25/2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Guided sampling is a vital approach for applying diffusion models in rea...
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09/29/2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
In offline reinforcement learning, weighted regression is a common metho...
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09/13/2022
Weight-based Channel-model Matrix Framework: a reasonable solution for EEG-based cross-dataset emotion recognition
Cross-dataset emotion recognition as an extremely challenging task in th...
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07/29/2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
We present Tianshou, a highly modularized python library for deep reinfo...
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02/23/2020